EconPapers    
Economics at your fingertips  
 

The T-Statistic Approach to Inference for Inequality Indices: The Issue of Grouping Variability

Nicolas Herault () and Stephen P. Jenkins ()
Additional contact information
Nicolas Herault: University of Bordeaux
Stephen P. Jenkins: London School of Economics

No 17972, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: Ibragimov, Kattuman, and Skrobotov (Econometric Reviews, 2025) propose a ‘t-statistic’ approach to inference for inequality indices building on results provided by Ibragimov and Müller (Journal of Business & Economic Statistics, 2010), and they and Midões and de Crombrugghe (Journal of Economic Inequality, 2023) evaluate its performance. We highlight a feature of the t-statistic approach – ‘grouping variability’ – that has been understudied to date, showing how this complicates inference for inequality indices.

Keywords: asymptotic inference; t-statistic inference approach; inequality; grouping variability (search for similar items in EconPapers)
JEL-codes: C14 C46 C81 D31 (search for similar items in EconPapers)
Date: 2025-06
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://docs.iza.org/dp17972.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:iza:izadps:dp17972

Ordering information: This working paper can be ordered from
IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany

Access Statistics for this paper

More papers in IZA Discussion Papers from Institute of Labor Economics (IZA) IZA, P.O. Box 7240, D-53072 Bonn, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Holger Hinte ().

 
Page updated 2025-07-26
Handle: RePEc:iza:izadps:dp17972